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To schedule or not to schedule: when no-scheduling can beat the best-known flow scheduling algorithm...

To schedule or not to schedule: when no-scheduling can beat the best-known flow scheduling algorithm...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2344449968

To schedule or not to schedule: when no-scheduling can beat the best-known flow scheduling algorithm in datacenter networks

About this item

Full title

To schedule or not to schedule: when no-scheduling can beat the best-known flow scheduling algorithm in datacenter networks

Publisher

Ithaca: Cornell University Library, arXiv.org

Journal title

arXiv.org, 2020-01

Language

English

Formats

Publication information

Publisher

Ithaca: Cornell University Library, arXiv.org

More information

Scope and Contents

Contents

Conventional wisdom for minimizing the average flow completion time (AFCT) in the datacenter network (DCN), where flow sizes are highly variable, would suggest scheduling every individual flow. However, we show that considering scheduling delay (including scheduler's computational and communication delays), serving most of the flows without any sch...

Alternative Titles

Full title

To schedule or not to schedule: when no-scheduling can beat the best-known flow scheduling algorithm in datacenter networks

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2344449968

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2344449968

Other Identifiers

E-ISSN

2331-8422

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